The growing number of open datasets from governments, academic institutions, and companies have brought new opportunities for innovation, economic growth, and societal benefits.
To integrate and analyze such datasets, researchers in both academia and industry have built a number of dataset search engines to support the application of dataset discovery [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}.
One popular example is Google's dataset search [3]} which provides keyword search on the metadata.
However, for open datasets, simple keyword search might suffer from data quality issues of incomplete and inconsistent metadata across different datasets and publishers [9]}, [10]}, [11]}, [12]}.
Thus it is essential to support table search over open datasets, and more generally data lake tables (including private enterprise data lakes), to boost dataset discovery applications, such as finding related tables, domain discovery, and column clustering.
